Viac ako 4 milióny titulov v angličtine aj ďalších jazykoch! Objavte svoj nový príbeh ešte dnes!

Hardware-Aware Probabilistic Machine Learning Models

Name: Hardware-Aware Probabilistic Machine Learning Models
Brand: Springer Nature Switzerland AG
SKU: 9783030740412
Price: 79.98 EUR
Availability: InStock

Autor: Marian Verhelst, Wannes Meert

Jazyk:

Väzba: Pevná

Vydavateľ: Springer Nature Switzerland AG

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

79.98 €

This book proposes probabilistic machine learning models that represent the hardware properties of t...

Informácie o knihe

Autor

Marian Verhelst, Wannes Meert

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2021

Stránok

176

EAN

9783030740412

ISBN

3030740412

Enbook ID

36186665

Vydavateľ

Springer Nature Switzerland AG

Hmotnosť

436

Rozmery

160 x 241 x 15

Kompletný popis

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. The book first motivates extreme-edge computing in the context of the Internet of Things (IoT) paradigm. Then, it briefly reviews the steps involved in the execution of a machine learning task and identifies the implications associated with implementing this type of workload in resource-constrained devices. The core of this book focuses on augmenting and exploiting the properties of Bayesian Networks and Probabilistic Circuits in order to endow them with hardware-awareness. The proposed models can encode the properties of various device sub-systems that are typically not considered by other resource-aware strategies, bringing about resource-saving opportunities that traditional approaches fail to uncover.The performance of the proposed models and strategies is empirically evaluated for several use cases. All of the considered examples show the potential of attaining significant resource-saving opportunities with minimal accuracy losses at application time. Overall, this book constitutes a novel approach to hardware-algorithm co-optimization that further bridges the fields of Machine Learning and Electrical Engineering.

Najčastejšie vyhľadávané

Categories

Authors

Publishers

Produkty

Produkty

Najčastejšie vyhľadávané

Categories

Authors

Publishers

Produkty

Produkty

Hardware-Aware Probabilistic Machine Learning Models

Informácie o knihe

Kompletný popis

Mohlo by vás zaujímať

PICE POUR VIOLON ET PIANO

Coalition Navies during the Korean War

Poetic Works

TimeLess

North American Flora; Vol 17 Part 3

Lost on the Yellow Brick Road

Arianna Kelt and the Renegades of Time (Deluxe Edition, Wizards of Skyhall Book 2)

Life of God in the Soul of Man

World the Cold War Made

Platinum Rule for Sales Mastery

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

Avanza, creación de páginas Web

Englischsprachige Shakespeareparodien Des 20. Jahrhunderts

AMAZONIA EN LAS CURVAS DEL TIEMPO, LA

Pack mini-castors 72vols (juin 1997)

Ashita no Joe - Tome 01

Antecedentes y primeros pasos nacionalismo vasco Navarra (1878-1918)

Wielki projekt

GUIA PARA LA GESTION DE DOCUMENTOS ELECTRONICOS